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Alpha A Lee

Showing results (31-40 of 59) with videos related to

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RSC Medicinal Chemistry|March 22, 2024
Deconvoluting low yield from weak potency in direct-to-biology workflows with machine learningWilliam McCorkindale, Mihajlo Filep, Nir London, et al.
Physical Review Letters|July 29, 2017
Scaling Analysis of the Screening Length in Concentrated ElectrolytesAlpha A Lee, Carla S Perez-Martinez, Alexander M Smith, et al.
Nature Communications|April 7, 2020
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learningYunwei Zhang, Qiaochu Tang, Yao Zhang, et al.
Science Advances|July 27, 2022
Rapid discovery of stable materials by coordinate-free coarse grainingRhys E A Goodall, Abhijith S Parackal, Felix A Faber, et al.
ACS Central Science|October 2, 2019
Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction PredictionPhilippe Schwaller, Teodoro Laino, Théophile Gaudin, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 28, 2019
Ligand biological activity predicted by cleaning positive and negative chemical correlationsAlpha A Lee, Qingyi Yang, Asser Bassyouni, et al.
Chemical Communications (Cambridge, England)|September 10, 2019
Molecular Transformer unifies reaction prediction and retrosynthesis across pharma chemical spaceAlpha A Lee, Qingyi Yang, Vishnu Sresht, et al.
Journal of the Royal Society, Interface|March 28, 2014
Alternative radical pairs for cryptochrome-based magnetoreceptionAlpha A Lee, Jason C S Lau, Hannah J Hogben, et al.
Nature Communications|January 15, 2024
Predictive Minisci late stage functionalization with transfer learningEmma King-Smith, Felix A Faber, Usa Reilly, et al.
Chemical Communications (Cambridge, England)|May 19, 2021
Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed <i>de novo</i> design modelAaron Morris, William McCorkindale, The Covid Moonshot Consortium, et al.
Pageof 6

Showing results (31-40 of 59) with videos related to

Sort By:
Pageof 6
RSC Medicinal Chemistry|March 22, 2024
Deconvoluting low yield from weak potency in direct-to-biology workflows with machine learningWilliam McCorkindale, Mihajlo Filep, Nir London, et al.
Physical Review Letters|July 29, 2017
Scaling Analysis of the Screening Length in Concentrated ElectrolytesAlpha A Lee, Carla S Perez-Martinez, Alexander M Smith, et al.
Nature Communications|April 7, 2020
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learningYunwei Zhang, Qiaochu Tang, Yao Zhang, et al.
Science Advances|July 27, 2022
Rapid discovery of stable materials by coordinate-free coarse grainingRhys E A Goodall, Abhijith S Parackal, Felix A Faber, et al.
ACS Central Science|October 2, 2019
Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction PredictionPhilippe Schwaller, Teodoro Laino, Théophile Gaudin, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 28, 2019
Ligand biological activity predicted by cleaning positive and negative chemical correlationsAlpha A Lee, Qingyi Yang, Asser Bassyouni, et al.
Chemical Communications (Cambridge, England)|September 10, 2019
Molecular Transformer unifies reaction prediction and retrosynthesis across pharma chemical spaceAlpha A Lee, Qingyi Yang, Vishnu Sresht, et al.
Journal of the Royal Society, Interface|March 28, 2014
Alternative radical pairs for cryptochrome-based magnetoreceptionAlpha A Lee, Jason C S Lau, Hannah J Hogben, et al.
Nature Communications|January 15, 2024
Predictive Minisci late stage functionalization with transfer learningEmma King-Smith, Felix A Faber, Usa Reilly, et al.
Chemical Communications (Cambridge, England)|May 19, 2021
Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed <i>de novo</i> design modelAaron Morris, William McCorkindale, The Covid Moonshot Consortium, et al.
Pageof 6